Analyst Core Data Enablement

Roles & Responsibilities
• Collaborate with stakeholders and systems teams to develop data products and business use cases that support informed decision-making
• Curate and validate data by applying quality, security, and compliance checks
• Drive data enablement initiatives aligned with enterprise Data Strategy and DLC products/assets
• Ensure adherence to regulatory requirements and continuously improve quality processes
• Deliver data strategy priorities in an agile manner with proper documentation and clear communication
• Perform data wrangling activities including ingestion, unification, anonymization, search, master data, metadata management, and governance
• Support enterprise-level data engineering and analytics initiatives

Qualification
• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Life Sciences, Pharmacy, or related field

Experience
• 2–3 years of experience in a global organization as Data Steward, Data Engineer, Data Modeler, or Data Scientist
• Experience in Pharmaceutical / Life Sciences industry strongly preferred
• Domain knowledge in at least one area: Pharma R&D, Manufacturing, Procurement & Supply Chain, Marketing & Sales
• Hands-on experience with ETL processes and Data Warehousing (DWH) concepts
• Experience with data strategy implementation in large organizations preferred

Skills
• Strong SQL expertise
• Programming/scripting skills in Python for data preparation and analysis
• Understanding of data modeling (conceptual, logical, physical)
• Experience in data governance and data lifecycle management
• Knowledge of big data ecosystem, AWS, Azure Stack (preferred)
• Basic understanding of Gen AI and NLP (advantage)
• Strong analytical and problem-solving abilities
• Excellent communication and senior stakeholder engagement skills
• Strong documentation and presentation skills

About the Company
This leading global pharmaceutical organization is committed to advancing digital transformation and enterprise data strategy, leveraging advanced analytics and data governance frameworks to drive innovation and informed decision-making across the healthcare ecosystem.